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2020 – today
- 2024
[j4]Lifeng Han
, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic:
Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning. Frontiers Digit. Health 6 (2024)- [c24]Arle Lommel, Serge Gladkoff, Alan K. Melby, Sue Ellen Wright, Ingemar Strandvik, Katerina Gasova, Angelika Vaasa, Andy Benzo, Romina Marazzato Sparano, Monica Foresi, Johani Innis, Lifeng Han, Goran Nenadic:
The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control. AMTA (2) 2024: 75-94 - [c23]Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic:
CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations. AMTA (2) 2024: 133-144 - [c22]Serge Gladkoff, Lifeng Han, Gleb Erofeev, Irina Sorokina, Goran Nenadic:
MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs. EAMT (1) 2024: 337-346 - [c21]Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic:
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data. EAMT (1) 2024: 590-599 - [c20]Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic:
Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts. ICHI 2024: 265-274 - [i33]Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic:
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data. CoRR abs/2403.11346 (2024) - [i32]Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic:
CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation. CoRR abs/2405.08172 (2024) - [i31]Nicolo Micheletti, Samuel Belkadi, Lifeng Han, Goran Nenadic:
Exploration of Masked and Causal Language Modelling for Text Generation. CoRR abs/2405.12630 (2024) - [i30]Arle Lommel, Serge Gladkoff, Alan K. Melby, Sue Ellen Wright, Ingemar Strandvik, Katerina Gasova, Angelika Vaasa, Andy Benzo, Romina Marazzato Sparano, Monica Foresi, Johani Innis, Lifeng Han, Goran Nenadic:
The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control. CoRR abs/2405.16969 (2024) - [i29]Jamie Glen, Lifeng Han, Paul Rayson, Goran Nenadic:
A Comparative Study on Automatic Coding of Medical Letters with Explainability. CoRR abs/2407.13638 (2024) - [i28]Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic:
BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability. CoRR abs/2408.03871 (2024) - [i27]Libo Ren, Samuel Belkadi, Lifeng Han, Warren Del-Pinto, Goran Nenadic:
Synthetic4Health: Generating Annotated Synthetic Clinical Letters. CoRR abs/2409.09501 (2024) - [i26]Samuel Belkadi, Libo Ren, Nicolo Micheletti, Lifeng Han, Goran Nenadic:
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling. CoRR abs/2409.09831 (2024) - [i25]Shengwei Tian, Lifeng Han, Erick Mendez Guzman, Goran Nenadic:
LLM-CARD: Towards a Description and Landscape of Large Language Models. CoRR abs/2409.17011 (2024) - [i24]Pablo Romero, Lifeng Han, Goran Nenadic:
INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning. CoRR abs/2409.19467 (2024) - [i23]Angel Paul, Dhivin Shaji, Lifeng Han, Warren Del-Pinto, Goran Nenadic:
DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data. CoRR abs/2410.01648 (2024) - 2023
- [c19]Yang Cui, Lifeng Han, Goran Nenadic:
MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries. ACL (student) 2023: 160-183 - [c18]Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic:
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning. ClinicalNLP@ACL 2023: 31-40 - [c17]Hangyu Tu, Lifeng Han, Goran Nenadic:
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. IEEE Big Data 2023: 2735-2744 - [c16]Samuel Belkadi, Lifeng Han, Yuping Wu, Goran Nenadic:
Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. IEEE Big Data 2023: 3660-3669 - [c15]Jinghan Liu, Lifeng Han, Liwei Bao:
"Information Talent" Sharing Program: Discussion on an Assistant Form of Interdisciplinary Information Literacy Education. FIE 2023: 1-5 - [c14]Stefan Schulz, Warren Del-Pinto, Lifeng Han, Markus Kreuzthaler, Sareh Aghaei Dinani, Goran Nenadic:
Towards Principles of Ontology-Based Annotation of Clinical Narratives. ICBO 2023: 36-47 - [c13]Bernadeta Griciute, Lifeng Han, Goran Nenadic:
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. ICHI 2023: 627-636 - [c12]Serge Gladkoff, Lifeng Han, Goran Nenadic:
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce. RANLP 2023: 419-428 - [c11]Najet Hadj Mohamed, Malak Rassem, Lifeng Han, Goran Nenadic:
AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations. RANLP 2023: 448-457 - [e1]Archna Bhatia, Kilian Evang, Marcos García, Voula Giouli, Lifeng Han, Shiva Taslimipoor:
Proceedings of the 19th Workshop on Multiword Expressions, MWE@EACL 2023, Dubrovnik, Croatia, May 6, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-59-3 [contents] - [i22]Bernadeta Griciute, Lifeng Han, Goran Nenadic:
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. CoRR abs/2301.03029 (2023) - [i21]Serge Gladkoff, Lifeng Han, Goran Nenadic:
Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce. CoRR abs/2303.04526 (2023) - [i20]Serge Gladkoff, Gleb Erofeev, Lifeng Han, Goran Nenadic:
Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? CoRR abs/2308.00158 (2023) - [i19]Haifa Alrdahi, Lifeng Han, Hendrik Suvalov, Goran Nenadic:
MedMine: Examining Pre-trained Language Models on Medication Mining. CoRR abs/2308.03629 (2023) - [i18]Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic:
Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts. CoRR abs/2309.13202 (2023) - [i17]Hangyu Tu, Lifeng Han, Goran Nenadic:
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. CoRR abs/2310.02229 (2023) - [i16]Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Warren Del-Pinto, Goran Nenadic:
Generating Medical Instructions with Conditional Transformer. CoRR abs/2310.19727 (2023) - [i15]Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic:
Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning. CoRR abs/2312.07250 (2023) - 2022
- [j3]Lifeng Han, Chen Li, Xiaolong Shi:
Recommendation Model Based on Probabilistic Matrix Factorization, Integrating User Trust Relationship, Interest Mining, and Item Correlation. IEEE Access 10: 132315-132331 (2022) - [c10]Serge Gladkoff, Lifeng Han:
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation. LREC 2022: 13-21 - [c9]Serge Gladkoff, Irina Sorokina, Lifeng Han, Alexandra Alekseeva:
Measuring Uncertainty in Translation Quality Evaluation (TQE). LREC 2022: 1454-1461 - [c8]Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic:
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It. WMT 2022: 908-919 - [i14]Lifeng Han:
An Overview on Machine Translation Evaluation. CoRR abs/2202.11027 (2022) - [i13]Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic:
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It. CoRR abs/2209.07417 (2022) - [i12]Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic:
Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain. CoRR abs/2210.06068 (2022) - [i11]Yuping Wu, Lifeng Han, Valerio Antonini, Goran Nenadic:
On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning? CoRR abs/2210.12770 (2022) - [i10]Lifeng Han:
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions. CoRR abs/2211.05201 (2022) - 2021
- [c7]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton, Paolo Bolzoni:
Chinese Character Decomposition for Neural MT with Multi-Word Expressions. NoDaLiDa 2021: 336-344 - [c6]Lifeng Han, Irina Sorokina, Gleb Erofeev, Serge Gladkoff:
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE. WMT@EMNLP 2021: 1014-1023 - [i9]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton, Paolo Bolzoni:
Chinese Character Decomposition for Neural MT with Multi-Word Expressions. CoRR abs/2104.04497 (2021) - [i8]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods. CoRR abs/2105.03311 (2021) - [i7]Lifeng Han, Irina Sorokina, Gleb Erofeev, Serge Gladkoff:
CushLEPOR: Customised hLEPOR Metric Using LABSE Distilled Knowledge Model to Improve Agreement with Human Judgements. CoRR abs/2108.09484 (2021) - [i6]Serge Gladkoff, Irina Sorokina, Lifeng Han, Alexandra Alekseeva:
Measuring Uncertainty in Translation Quality Evaluation (TQE). CoRR abs/2111.07699 (2021) - [i5]Serge Gladkoff, Lifeng Han:
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation. CoRR abs/2112.13833 (2021) - 2020
- [j2]Lifeng Han, Zhenbo Lu:
Enhancing student participation in information literacy course based on Rain Classroom: a case study. Libr. Hi Tech 38(3): 522-536 (2020) - [c5]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora. LREC 2020: 2970-2979 - [c4]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations. MWE-LEX 2020: 44-57 - [i4]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora. CoRR abs/2005.10583 (2020) - [i3]Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations. CoRR abs/2011.03783 (2020)
2010 – 2019
- 2018
- [i2]Shaohui Kuang, Lifeng Han:
Apply Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level. CoRR abs/1805.01565 (2018) - 2017
- [c3]Alfredo Maldonado, Lifeng Han, Erwan Moreau, Ashjan Alsulaimani, Koel Dutta Chowdhury, Carl Vogel, Qun Liu:
Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking. MWE@EACL 2017: 114-120 - [i1]Lifeng Han:
LEPOR: An Augmented Machine Translation Evaluation Metric. CoRR abs/1703.08748 (2017) - 2013
- [j1]Lili Luo, Yuan Wang, Lifeng Han:
Marketing via social media: a case study. Libr. Hi Tech 31(3): 455-466 (2013) - 2011
- [c2]Qiang Li, Yan Dong, Guangjie Tao, Jingjie Yan, Lifeng Han:
Research on the Fabrication of Integrative Insulator Rib for Field Emission Display Panel. CSISE (3) 2011: 297-301 - [c1]Dong Yan, Li Qiang, Zhao Feng, Lifeng Han:
Study on Packaging Technology of Small-Type FED Panel with Cold Field Emitter. CSISE (1) 2011: 387-391
Coauthor Index
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